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The API follows Gradio's standard request/response schema.","intents":["Integrate TTS synthesis into external applications or microservices","Build automation workflows that call TTS as a step in a larger pipeline","Test TTS model behavior programmatically without manual web UI interaction","Scale TTS requests across multiple applications using a shared endpoint"],"best_for":["Backend developers integrating TTS into production applications","Automation engineers building multi-step workflows with TTS as a component","Teams evaluating TTS model performance at scale","Researchers running batch experiments on TTS output quality"],"limitations":["Gradio API responses include wrapper metadata — parsing requires extracting audio from JSON structure","No request authentication or rate limiting visible in public Spaces — vulnerable to abuse","Queue-based execution means unpredictable latency during peak usage (could exceed 30+ seconds)","No SLA or uptime guarantees — HuggingFace Spaces can restart or throttle endpoints","Audio returned as base64 or temporary URLs — no persistent storage of generated audio"],"requires":["HTTP client library (curl, requests, fetch, etc.)","Knowledge of Gradio API request/response format","Internet connectivity to reach HuggingFace Spaces endpoint","Ability to parse JSON responses and extract audio data"],"input_types":["JSON (with text field)"],"output_types":["JSON (containing audio data as base64 or URL reference)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-hexgrad--kokoro-tts__cap_3","uri":"capability://automation.workflow.gpu.accelerated.inference.on.huggingface.spaces.infrastructure","name":"gpu-accelerated inference on huggingface spaces infrastructure","description":"Executes the Kokoro TTS model on HuggingFace Spaces' managed GPU resources (likely NVIDIA T4 or similar), leveraging CUDA-optimized inference libraries (PyTorch, ONNX Runtime, or TensorRT). The Spaces environment handles GPU allocation, memory management, and kernel scheduling transparently. Inference runs in a containerized environment with pre-installed dependencies, eliminating local setup complexity.","intents":["Run TTS inference without provisioning or managing local GPU hardware","Leverage cloud GPU resources for cost-effective synthesis at scale","Avoid CUDA/cuDNN installation and driver management complexity","Prototype TTS applications without upfront infrastructure investment"],"best_for":["Developers without access to local GPU hardware","Teams seeking to minimize infrastructure management overhead","Startups prototyping voice features before committing to dedicated inference infrastructure","Researchers running one-off experiments without long-term compute needs"],"limitations":["Inference latency includes network round-trip time (typically 100-500ms) plus model execution time","GPU availability on Spaces is not guaranteed — free tier may experience throttling or queue delays","No control over GPU type, memory allocation, or optimization settings","Concurrent requests are queued sequentially — no parallel inference across requests","Spaces may restart or reset state, causing request failures if not properly handled","Cost-prohibitive for high-volume production use (free tier has usage limits)"],"requires":["HuggingFace Spaces account with GPU access (may require paid tier)","Internet connectivity with sufficient bandwidth for audio streaming","No local CUDA/cuDNN installation required"],"input_types":["text (serialized in HTTP request)"],"output_types":["audio (synthesized on GPU, streamed to client)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-hexgrad--kokoro-tts__cap_4","uri":"capability://memory.knowledge.open.source.model.deployment.and.reproducibility","name":"open-source model deployment and reproducibility","description":"Kokoro-TTS is deployed as an open-source model on HuggingFace Hub, allowing users to inspect model weights, architecture, and training details. The Spaces deployment includes a public Git repository with the Gradio app code, enabling users to fork, modify, and redeploy the application. This transparency supports reproducibility, community contributions, and custom fine-tuning on local hardware.","intents":["Audit model architecture and weights for safety, bias, or licensing concerns","Fork and customize the TTS application for domain-specific use cases","Fine-tune the model on custom voice data or languages","Contribute improvements or bug fixes back to the open-source project","Understand how the model was trained and what data it was trained on"],"best_for":["Researchers studying TTS model architectures and training methodologies","Open-source contributors seeking to improve the model or application","Teams building proprietary applications on top of open-source TTS","Organizations with strict model transparency and auditability requirements"],"limitations":["Model weights may be large (100MB-1GB+) — slow to download on limited bandwidth","No formal versioning or release management — breaking changes may occur without notice","Community-driven maintenance means no guaranteed support or bug fixes","Fine-tuning requires significant GPU resources and ML expertise","License compliance responsibility falls on downstream users"],"requires":["HuggingFace account to download model weights","Git client to clone the Spaces repository","Python 3.8+ and PyTorch/TensorFlow to run locally","GPU hardware for fine-tuning (optional for inference)"],"input_types":["model weights (PyTorch .pt or .safetensors format)","application code (Python/Gradio)"],"output_types":["model weights (downloadable from HuggingFace Hub)","application code (cloneable Git repository)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":22,"verified":false,"data_access_risk":"high","permissions":["Web browser with audio playback support","Internet connection to reach HuggingFace Spaces endpoint","No local dependencies — inference runs entirely on remote GPU","HuggingFace Spaces account (free tier available)","Web browser with JavaScript enabled","Internet connectivity to reach the Spaces endpoint","HTTP client library (curl, requests, fetch, etc.)","Knowledge of Gradio API request/response format","Internet connectivity to reach HuggingFace Spaces endpoint","Ability to parse JSON responses and extract audio data"],"failure_modes":["Inference latency depends on HuggingFace Spaces GPU availability and queue depth — typical 2-10 second generation time per request","No fine-tuning or voice cloning capabilities exposed in the web interface","Limited to single-speaker synthesis unless model supports multi-speaker variants","No batch processing or long-form document support — text input likely capped at reasonable length","Audio quality constrained by model training data and vocoder resolution","Gradio abstractions add ~50-100ms overhead per request compared to direct model inference","No custom authentication — relies on HuggingFace Spaces access controls","Limited styling and UX customization without forking the Gradio app","Concurrent request handling depends on HuggingFace Spaces queue system — may queue requests during high traffic","No persistent session state or user history tracking built-in","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.36,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.766Z","last_scraped_at":"2026-05-03T14:22:48.012Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=hexgrad--kokoro-tts","compare_url":"https://unfragile.ai/compare?artifact=hexgrad--kokoro-tts"}},"signature":"vyMeRePSQLSDFJ1f4BMWZxLmXhGk8Z6JnwdRTRBRCLonURtRn75Rpw9kcnxmoeJPOGO6VRYLmOzUUt5yZgabCQ==","signedAt":"2026-06-19T16:19:32.010Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/hexgrad--kokoro-tts","artifact":"https://unfragile.ai/hexgrad--kokoro-tts","verify":"https://unfragile.ai/api/v1/verify?slug=hexgrad--kokoro-tts","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}